Eliciting Client Requirements in Developing Information Systems Using Artificial Intelligence (Opportunities and Challenges)

Abstract

- The process of eliciting client requirements has always been and remains one of the pivotal challenges for a systems analyst, representing the cornerstone of success in any information systems development endeavour. Historically, challenges revolved around the difficulty of communicating with clients who were unfamiliar with communicating with system analysts who use effective methods for gathering and refining requirements. Over time, these challenges evolved to encompass the integration of diverse stakeholders, each with its own set of needs. However, in the contemporary landscape, the complexity has surged with the deluge of vast data from myriad sources. This inundation poses a formidable task for systems analysts to extract actionable insights catering to a multitude of beneficiaries. Yet, amidst this complexity, artificial intelligence tools have emerged as invaluable aids for systems analysts. These tools facilitate the parsing, categorization, and cleansing of voluminous data, empowering analysts to distil meaningful conclusions vital for deducing clients’ requirements. Through AI-enabled processes, analysts can effectively navigate the ocean of data, transforming it into a strategic asset that informs and shapes the development trajectory of information systems. Thus, artificial intelligence stands as a transformative force, augmenting the capabilities of systems analysts and ensuring the alignment of information systems with the diverse and evolving needs of clients and stakeholders. This research aims to investigate the most important artificial intelligence tools that can increase the effectiveness of eliciting client requirements, compare them, and find out their challenges and opportunities.